Sr. AI/ML Engineer

IntraEdge

Hyderabad

On-site

INR 2,000,000 - 4,000,000

Full time

2 days ago
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Job summary

IntraEdge is seeking a Sr. AI/ML Engineer with 6+ years of software engineering and AI/ML app development experience. You will design, build, and deploy scalable AI/ML-enabled backend services using Python, Django, and FastAPI in a cloud-native setup.

You will implement microservices, REST APIs, and containerized apps with Docker, while driving CI/CD automation and collaborating with DevOps and data science teams to ship production-ready solutions.

Qualifications

  • 6+ years of software engineering and AI/ML application development.
  • Strong hands-on experience with Python.
  • Strong experience with Django and/or FastAPI.
  • 2–3 years of hands-on experience developing microservices.
  • Strong experience developing and integrating REST APIs.
  • Hands-on experience with Docker and containerized applications.
  • Experience with CI/CD automation and DevOps practices.
  • Understanding of Agile/Scrum methodologies.
  • Excellent debugging, problem-solving, and collaboration skills.

Responsibilities

  • Design and develop scalable AI/ML-enabled applications and backend services using Python.
  • Build and maintain microservices using Django, FastAPI, and related Python frameworks.
  • Develop secure, scalable, and high-performance REST APIs for integration.
  • Integrate AI/ML models and services into production applications and workflows.
  • Develop reusable, modular components following software engineering best practices.
  • Build and deploy containerized applications using Docker and related technologies.
  • Develop CI/CD pipelines for automated build, testing, deployment, and release.
  • Collaborate with DevOps and cloud teams to deploy and manage applications across environments.
  • Troubleshoot issues and contribute to architecture decisions.
  • Participate in design reviews, code reviews, and technical documentation.
  • Work with Data Scientists, AI/ML Engineers, Architects, QA, DevOps, and Product teams.
  • Follow Agile/Scrum practices across the full SDLC.

Skills

Python
Django
FastAPI
Microservices
REST APIs
Docker
CI/CD
Git
Agile
Troubleshooting
AI/ML concepts

Education

Bachelor's or Master's in Computer Science/IT/Engineering/Data Science

Tools

Kubernetes
AWS
Azure
GCP
PostgreSQL
MySQL
MongoDB
Kafka
Datadog
Splunk

Job description

Job Overview

We are looking for a Sr. AI/ML Engineer with 6+ years of experience in software engineering and AI/ML application development. The ideal candidate should have strong hands-on experience in Python, Django, FastAPI, Microservices, containerized applications, and CI/CD automation.

The candidate will be responsible for designing, developing, integrating, and deploying scalable AI/ML-enabled applications and backend services in a modern cloud-native environment.

Key Responsibilities
  • Design and develop scalable AI/ML-enabled applications and backend services using Python.
  • Build and maintain microservices using Django, FastAPI, and related Python frameworks.
  • Develop secure, scalable, and high-performance REST APIs for application and system integration.
  • Integrate AI/ML models and services into production applications and enterprise workflows.
  • Develop reusable, modular, and maintainable application components following software engineering best practices.
  • Build and deploy containerized applications using Docker and other container technologies.
  • Develop and maintain CI/CD pipelines for automated build, testing, deployment, and release processes.
  • Collaborate with DevOps and cloud teams to deploy and manage applications across different environments.
  • Troubleshoot application, API, deployment, and production issues and implement effective solutions.
  • Participate in design discussions, code reviews, technical documentation, and architecture decisions.
  • Work closely with Data Scientists, AI/ML Engineers, Architects, QA, DevOps, and Product teams.
  • Follow Agile/Scrum practices and contribute across the complete software development lifecycle.
Required Skills & Experience
  • 6+ years of overall software engineering/application development experience.
  • Strong hands-on experience with Python.
  • Strong experience with Django and/or FastAPI.
  • Minimum 2–3 years of hands-on experience developing microservices.
  • Strong experience developing and integrating REST APIs.
  • Hands-on experience with Docker and containerized applications.
  • Good understanding of microservices architecture and distributed systems.
  • Experience with CI/CD automation and DevOps practices.
  • Experience with Git and modern software development practices.
  • Strong debugging, problem-solving, and troubleshooting skills.
  • Good understanding of Agile/Scrum methodologies.
  • Strong communication and collaboration skills.
AI/ML Skills
  • Good understanding of AI/ML concepts and application development.
  • Experience integrating AI/ML models or services into production applications.
  • Understanding of model serving, inference APIs, and AI/ML integration.
  • Exposure to Generative AI, LLMs, RAG, or AI-powered applications is a plus.
  • Familiarity with AI/ML frameworks and MLOps practices is desirable.
Good to Have
  • Experience with Kubernetes and cloud platforms such as AWS, Azure, or GCP.
  • Experience with Kafka or other messaging platforms.
  • Experience with SQL/NoSQL databases such as PostgreSQL, MySQL, or MongoDB.
  • Exposure to application monitoring and observability tools such as Splunk, Datadog, Grafana, or Prometheus.
  • Experience with cloud-native and event-driven architectures.
Education

Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related technical discipline.

Python | Django | FastAPI | Microservices | REST APIs | Docker | CI/CD | AI/ML | Cloud | Git | Agile | Troubleshooting

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